Investigating the wavelet coherence phase of the BOLD signal

Journal of Magnetic Resonance Imaging : JMRI
Karsten MüllerD Yves von Cramon

Abstract

To investigate the temporal behavior of the blood oxygenation-level dependent (BOLD) signal applying the wavelet coherence phase to functional magnetic resonance imaging (fMRI) data. The wavelet coherence phase was computed for a group of four subjects using three functional runs of different visual stimulation lengths. In order to consider the variability of the wavelet coherence phase, a correlation analysis was performed between the variance of the phase shift and the associated activation strength. In activated brain regions, correlation was performed between the mean wavelet coherence phase and the spectral density phase shift. The scalograms of the wavelet coherence phase show the temporal variability of the phase shift between fMRI time series. For brain regions with weakly stationary behavior, the mean wavelet coherence phase supports the results obtained by spectral analyses. The wavelet coherence phase provides a description of the temporal behavior of the BOLD signal even for the nonstationary case. In particular, temporal changes of the phase shift can be investigated. This makes the wavelet coherence phase more suitable for the investigation of BOLD dynamics than an average phase lag obtained by correlation or spec...Continue Reading

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Feb 21, 2003·Journal of Magnetic Resonance Imaging : JMRI·Karsten MüllerD Yves von Cramon
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Citations

Apr 11, 2015·The European Journal of Neuroscience·Abigail DickinsonElizabeth Milne
Jun 13, 2013·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Eiichi OkumuraNobukazu Nakasato
Dec 30, 2014·Frontiers in Integrative Neuroscience·Gert PfurtschellerFernando Lopes da Silva
May 24, 2014·Journal of Applied Physiology·Espen A F Ihlen
Jan 30, 2020·Scientific Reports·Rosaleena MohantyVivek Prabhakaran
Nov 20, 2016·Human Brain Mapping·Gadi Goelman, Rotem Dan
Nov 23, 2020·The European Journal of Neuroscience·Gadi GoelmanRobert Jech
Aug 3, 2021·Journal of Neuroscience Methods·Guoqiang HuFengyu Cong
Aug 28, 2021·The European Journal of Neuroscience·Gadi GoelmanRobert Jech

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